Institute of Mathematical Statistics Lecture Notes - Monograph Series

Objective Bayesian Methods for Model Selection: Introduction and Comparison

James O. Berger and Luis R. Pericchi

Full-text: Open access

Chapter information

Source
P. Lahiri, ed. Model selection (Beachwood, OH: Institute of Mathematical Statistics, 2001), 135-207

Dates
First available in Project Euclid: 8 July 2008

Permanent link to this document
http://projecteuclid.org/euclid.lnms/1215540968

Digital Object Identifier
doi:10.1214/lnms/1215540968

Mathematical Reviews number (MathSciNet)
MR2000753

Subjects
Primary: 62C10: Bayesian problems; characterization of Bayes procedures

Rights
Copyright © 2001, Institute of Mathematical Statistics

Citation

Berger, James O.; Pericchi, Luis R. Objective Bayesian Methods for Model Selection: Introduction and Comparison. Model selection, 135--207, Institute of Mathematical Statistics, Beachwood, OH, 2001. doi:10.1214/lnms/1215540968. http://projecteuclid.org/euclid.lnms/1215540968.


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Related Works

  • See Discussion: J. K. Ghosh, Tapas Samanta. Discussion of James O. Berger and Luis R. Pericchi, "Objective Bayesian Methods for Model Selection: Introduction and Comparison". IMS Lecture Notes--Monographic Series, Volume 38, p. 194-197.
  • See Discussion: Fulvio De Santis. Discussion of James O. Berger and Luis R. Pericchi, "Objective Bayesian Methods for Model Selection: Introduction and Comparison". IMS Lecture Notes--Monographic Series, Volume 38, p. 197-203.